Senior System Software Engineer - AV Platform

NVIDIA AI
Santa Clara, California, United StatesFull-time$184,000–$287,500Posted Aug 30, 2026

About the role

Job Requisition ID

JR2021102

Job Category

Engineering

Time Type

Full time

The Autonomous Vehicles System Software Team is looking for a hands-on System Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable solutions for data collections and autonomous vehicle fleets. Our team is responsible for developing platform and middleware features for self-driving cars. This includes software that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures. The role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future!

What You Will Be Doing

Designing and developing core components of NVIDIA DriveWorks SDK.

Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.

Working on areas such as sensor abstraction layers, data processing components, process scheduling, data serialization, network communications, and frameworks.

Performing in-vehicle tests, collecting data and completing autonomous drive missions.

Establishing unit tests, documentation for features, evaluating quality and proposing corrective actions.

Developing highly efficient production code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA and AUTOSAR.

What We Need To See

BS or MS in Computer Engineering, Computer Science, or related engineering field (or equivalent experience).

5+ years of professional experience working on autonomous vehicles software.

Excellent C and C++ programming skills.

Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.

Proficient with AI-powered coding tools like Cursor, Copilot, Gemini, etc.

Strong background of Linux, QNX, and/or other real-time operating systems.

Thrive on writing low latency, highly performant code.

Great communication and analytical skills.

Ways To Stand Out From The Crowd

Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.

Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools.

Knowledge of automotive systems, notably ADAS applications.

Software development for modern OpenGL (Core Profile) and Linux.

Experience with version control systems GIT and build system Bazel.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Responsibilities

  • Designing and developing core components of NVIDIA DriveWorks SDK
  • Developing and optimizing software architecture and frameworks for real-world performance
  • Working on sensor abstraction layers, data processing components, and network communications
  • Performing in-vehicle tests and collecting data for autonomous drive missions
  • Establishing unit tests and documentation for features

Qualifications

  • BS or MS in Computer Engineering, Computer Science, or related field
  • 5+ years of professional experience in autonomous vehicles software
  • Excellent C and C++ programming skills
  • Strong knowledge of programming and debugging techniques
  • Proficient with AI-powered coding tools

Benefits

  • Equity
  • Inclusive work environment

Skills mentioned

C++CCUDALinuxReal-Time Operating SystemsDebuggingPerformance OptimizationDistributed SystemsUnit TestingGit

About NVIDIA AI

Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.

Computer Hardware Manufacturing10,001+ employeesSanta Clara, CA